Name: R-Ladies+ Corvallis: Learning Positron Workshop
Start: 2026-06-04T00:30:00.000Z
Location: Corvallis-Benton County Public Library

🔜 We are excited to announce our next virtual meetup in collaboration with R-Ladies Abuja (https://www.meetup.com/rladies-abuja/).

Join us on May 13 from 7:00 pm to 8:00 pm CEST (GMT+2) for a talk on performing automatic NLP with LLMs using mall with Edgar Ruiz — Software Engineer at Posit.

Talk abstract: We’re all too familiar with the grind of building functional NLP: labeling data, fitting models, and endless tuning. In this talk, we’ll see how mall lets us bypass model training entirely by using LLMs to handle complex multilingual translation, sentiment analysis, and entity extraction row-wise across our data. We’ll explore how to run these solutions using a familiar R syntax, whether you're working with local models for privacy or remote APIs for scale.

We look forward to seeing many of you there!

R-Ladies Paris

Chaima Boughanmi

Bilikisu Olatunji

Mouna Belaid

Suzi Soroczak

Gonzalo Suárez

Caitlin Chesnais-Dixon

Jennifer Luz Lopes

DDeHaas

Bernard Forgues

Toyin

Ifeoma Egbogah

abeermahmoud739

AIisson Soares

Rita Giordano

Erfan Soheil

Edgar Sartori

rahmathsafei

Franck Nadaud

Automatic NLP with LLMS Using {mall}

Online event

A personal website is a great way to showcase your data science skills, highlight projects, and share what you’re passionate about. In this workshop, we’ll learn to build a personal website using Quarto, an accessible and flexible publishing framework, to help you get started. Together, we’ll:

* Build the core components of a Quarto website
* Add a blog to share your work and projects
* Use Sass to customize colors and fonts
* Walk through deploying your website \~for free\~ using GitHub Pages

Whether you’re just getting started or looking for a Quarto refresher, this workshop will provide you with the tools you need to share your work with an online audience.

If you’d like to follow along during the workshop, please install and configure a few tools ahead of time by working through these [initial setup instructions](https://samanthacsik.github.io/RLadiesSB-quarto-websites/#setup).

R-Ladies Santa Barbara

Camila Vargas Poulsen

Colleen McCamy

Danielle

Samantha Csik

Wahab Moussa

Arieanna Balbar

Jamie Miller

Michelle Moreno

Nicole Greco

Geri Urgel

Tracey Mangin

Lauren Chetley

Creating your personal website with Quarto

National Center for Ecological Analysis and Synthesis

En este taller introductorio vamos a acercarnos a la **Teoría de Respuesta al Ítem (TRI)** de una manera práctica y accesible. La TRI sirve para entender mejor **cómo funcionan los ítems (preguntas) de un test y cómo miden una habilidad o rasgo**. Nos permite ver, por ejemplo, si un ítem es más fácil o más difícil, si discrimina bien entre personas con distinto nivel, y si funciona de manera consistente.
También es una herramienta muy útil para seleccionar los mejores ítems, acortar tests sin perder calidad y diseñar escalas más precisas.

A lo largo del encuentro, vas a:
\- Construir una comprensión conceptual de sus ideas principales\.
\- Aplicar este método usando R\.
\- Aprender a interpretar sus resultados para entender mejor cómo funcionan los ítems y qué aportan a la medición\.

Este taller es **introductorio** y está dirigido a personas con un **conocimiento básico de escalas psicométricas**. **No requiere conocimiento previo de Teoría de Respuesta al Ítem.**

**Requerimientos:**

* R: 4.5.1 (mínimo)
* RStudio: 2025.05.1 (mínimo, descargar [aquí](https://posit.co/downloads/))
* Instalar los paquetes **tidyverse, mirt y ltm**

R-Ladies Buenos Aires

Betsabé Cohen

Jesica Formoso

María Nanton

Virginia García Alonso

Macarena Martínez-Cuitiño

Magalí Martínez

Victoria Rio

josefinagcosta

Ariel Silvio Norberto Ramos

bianbeltran15

Psicometría con R:  Introducción a la teoría de respuesta al ítem (TRI)

Perón y Uriburu

This workshop walks through a complete text analysis pipeline in R, combining traditional methods with newer AI-powered tools.

In the first part, we will cover tokenization with tidytext, stopword removal (including custom stopwords), word frequency visualization with wordclouds and bar plots, dictionary-based sentiment analysis using three lexicons (AFINN, Bing, and NRC), topic modeling with LDA, and bigram analysis with word networks.

In the second part, we explore how the mall package can be used to perform sentiment analysis with local LLMs (via Ollama), comparing this approach to dictionary-based methods, and look at related tasks like text classification and entity extraction.

Familiarity with R and the tidyverse is assumed.

R-Ladies Rome

Federica Gazzelloni

Regina Galambos

disha

Ashwin Kishtagari

Andrei

lauyeehow1986

Mubanga Nsofu

Marylène Henry

Carlos M Zambrana

Danielle R. Revels

arellyo

Marco Aurelio

Alexis Solis

José F. Grillo C.

Tosan Okome 

Ricardo S.

MIGUEL ANGEL DAZA ARBOLI

Eulios

From Dictionaries to LLMs: Text Analysis in R  

Are you an R and/or Python user interested in learning about the [Positron IDE](https://positron.posit.co/)? Join the R-Ladies Corvallis community for a workshop led by Posit's very own Charlotte Wickham! You do not need to have any experience with Positron to attend.
We'll have snacks and time set aside for mingling and asking questions. We hope you join us!

R-Ladies Corvallis

Charlotte Wickham

Erin Howard

Finley Dibert-Burgwin

Madeleine Sherry

Jessica Naranjo

Blanca Perez

Olivia

Kimberly Stanke

R-Ladies+ Corvallis: Learning Positron Workshop

Corvallis-Benton County Public Library

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